Web3-based sludge treatment method, device, equipment and medium

Abstract

The invention relates to a Web3-based sludge treatment method and device, equipment and a medium. The sludge treatment method comprises the following steps: collecting sludge treatment data in a sludge treatment process, and obtaining operation management data of sludge treatment equipment; performing standardization processing and preliminary classification on the sludge treatment data and the operation management data to generate a corresponding data classification packet, and screening sensitive data from the data classification packet; deploying an intelligent contract supporting DAO operation; performing encryption and uplink on the sensitive data based on the smart contract to generate uplink data; and analyzing the corresponding data classification packet based on the intelligent contract, allowing the DAO member to access and query the uplink data in real time, and distributing the corresponding data access authority according to the responsibility information of the DAO member. Decentralization management of sludge treatment is achieved, and the problems that a traditional system is high in dependency, high in trust risk and opaque in data processing are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of sludge treatment and disposal, and particularly to a sludge treatment and disposal method, device, equipment and medium based on Web3. Background Art

[0002] At present, traditional sludge treatment management systems mainly rely on the coordination and control of centralized institutions, but this centralized structure has several significant drawbacks. First, the high dependence of the system on a single institution makes it vulnerable. Once the centralized institution has technical or management problems, the entire system may be interrupted or even paralyzed. For example, if the central server responsible for sludge treatment data management fails, the treatment facilities may not be able to obtain real-time data, resulting in production stagnation. In addition, the centralized management institution may face moral risks or deviations due to operational errors, and the user's trust in the system will decline accordingly. At the same time, the data processing process of traditional centralized systems lacks transparency, and the steps of data collection, storage and processing are difficult to be externally supervised and verified, increasing the risk of data being tampered with or misused. This lack of transparency makes it difficult for external parties to detect and correct data deviations or management problems in a timely manner. Summary of the Invention

[0003] To solve the problems of strong dependence on centralized institutions, high trust risks, and opaque data processing in traditional sludge treatment management systems, the present application provides a sludge treatment and disposal method, device, equipment and medium based on Web3.

[0004] The first invention object of the present application is achieved through the following technical solutions: A sludge treatment and disposal method based on Web3, the sludge treatment and disposal method based on Web3 includes: Obtain a connection request of sludge treatment equipment, access multiple Internet of Things sensing devices based on the connection request to collect sludge treatment data during the sludge treatment process, and obtain the operation and management data of the sludge treatment equipment based on the connection request; Perform standardized processing and preliminary classification on the sludge treatment data and the operation and management data to generate corresponding data classification packages, and screen out sensitive data from the data classification packages; Select a blockchain platform and deploy a smart contract supporting DAO operation on the blockchain platform; Encrypt and chain the sensitive data based on the smart contract to generate chained data; Analyze the corresponding data classification packages based on the smart contract to send corresponding control instructions to the sludge treatment equipment, where the control instructions are used to adjust the operating parameters of the sludge treatment equipment or to update the chained data; Based on the network circulation mechanism, DAO members are allowed to access and query the data on the chain in real time, and according to the determined permission management strategy, the corresponding data access permissions are allocated based on the responsibility information of DAO members.

[0005] By adopting the above technical solutions, through Web3 and DAO technologies, the decentralized management of sludge treatment is realized, and the problems of strong dependence, high trust risk and opaque data processing in traditional systems are solved. First, the Internet of Things sensing devices are used to collect sludge treatment data and operation management data. By standardizing the data and screening sensitive data, the structuring of data and privacy protection are ensured. Subsequently, based on the blockchain platform and smart contracts, the sensitive data is encrypted and uploaded to the chain to achieve the immutability and traceability of the data. And through the smart contracts, the data is dynamically analyzed, and control instructions are automatically sent to the sludge treatment equipment to adjust the equipment parameters, thereby improving the treatment efficiency. DAO members can access and query the data on the chain in real time based on the permission management strategy, ensuring the transparency and distributed management of the data, effectively reducing the control risk of the centralized institution over the system, and enhancing the credibility and transparency of the data.

[0006] In a preferred example of the present application, it can be further configured as: the step of standardizing and preliminarily classifying the sludge treatment data and the operation management data to generate corresponding data classification packages, and screening out sensitive data in the data classification packages includes: Performing standard processing on the sludge treatment data and the operation management data, including at least a data cleaning process, a data formatting process, and a data structuring process, to generate corresponding standardized data; According to the determined application process requirements, establishing a classification package to be filled and determining the encryption requirement information; According to the attribute information of the standardized data, respectively matching each piece of the standardized data to its corresponding classification package to be filled to generate corresponding data classification packages; According to the encryption requirement information, determining the corresponding sensitive data in each of the data classification packages.

[0007] By adopting the above technical solutions, it is possible to perform data cleaning, formatting, and structuring on the sludge treatment data and the operation management data, ensure the accuracy and standardization of the data, and establish a classification package to be filled for classification management. According to the encryption requirement information, sensitive data can be screened out and stored in the corresponding classification package to ensure the security and privacy of the sensitive data. In this way, through classification management, the data can be reasonably summarized according to its attributes, ensuring the transparency and traceability of the data after it is uploaded to the chain, and at the same time ensuring that more precise encryption and protection measures can be provided when dealing with sensitive data, improving the overall ability of the system in dealing with data security and privacy.

[0008] In a preferred example, the present application can be further configured as follows: In the step of selecting a blockchain platform and deploying a smart contract supporting the operation of a DAO on the blockchain platform, it includes: Select a corresponding blockchain platform according to the determined application process requirements; Establish a blockchain node and a smart contract in the blockchain platform; Write the code in the smart contract to define the corresponding automatic execution rules. The automatic execution rules at least include a dynamic optimization rule and an encrypted chain - up rule. Among them, the dynamic optimization rule is used to analyze each data classification package to achieve dynamic optimization of the sludge treatment process, and the encrypted chain - up rule is used to encrypt the sensitive data through the smart contract and chain it up to the corresponding blockchain node.

[0009] By adopting the above - mentioned technical solution, it is possible to select the most suitable blockchain platform according to the specific application process requirements, create a blockchain node and a smart contract on the blockchain platform, ensuring the rationality and stability of the system architecture. Define the dynamic optimization rule and the encrypted chain - up rule in the smart contract to ensure that the key data of sludge treatment can be encrypted and chained up under appropriate circumstances, realizing the transparency and immutability of the data. At the same time, the dynamic optimization rule can automatically analyze the data in each data classification package and automatically adjust the parameter settings in the sludge treatment process, ensuring the efficiency and security of the treatment process, thereby improving the intelligent level and resource utilization efficiency of the sludge treatment system.

[0010] In a preferred example, the present application can be further configured as follows: The step of encrypting and chaining up the sensitive data based on the smart contract includes: Based on the encrypted chain - up rule, encrypt the sensitive data through homomorphic encryption technology, and perform data calculation and analysis in the encrypted state to generate a corresponding calculation and analysis result; Generate a zero - knowledge proof according to the calculation and analysis result; Send the corresponding zero - knowledge proof to the corresponding verification object to generate a corresponding verification result; Chain up the calculation and analysis result and the verification result to the blockchain node.

[0011] By adopting the above technical solution, homomorphic encryption processing can be performed on sensitive data based on the encrypted chain - up rule, realizing encrypted calculation of data and avoiding the risk of data leakage. Calculation and analysis are performed in the encrypted state to generate reliable calculation and analysis results, effectively ensuring the privacy of data and the accuracy of analysis results. The authenticity of the calculation results is further verified through zero - knowledge proof and sent to the verification object to generate verification results, making data verification more authoritative while ensuring that data is not leaked. Finally, the calculation and analysis results and the verification results are chained up together to ensure the immutability and credibility of the data, thereby enhancing the security and transparency of sensitive data in the sludge treatment process.

[0012] In a preferred example of this application, it can be further configured as follows: In the step of analyzing the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment device, where the control instruction is used to adjust the operating parameters of the sludge treatment device or to update the chain - up data, the control instruction includes a temperature control instruction, a pH regulation instruction, a fault alarm instruction, a first update instruction, a second update instruction, and a final decision instruction. The step further includes: If the data classification package is a temperature data package, based on the smart contract, it is judged whether the temperature data in the temperature data package exceeds the preset temperature range. If it exceeds, a corresponding temperature control instruction is sent to the sludge treatment device; If the data classification package is a pH data package, based on the smart contract, it is judged whether the pH data in the pH data package exceeds the preset pH range. If it exceeds, a corresponding pH regulation instruction is sent to the sludge treatment device; If the data classification package is a biological activity data package, based on the smart contract, it is judged whether the biological activity data in the biological activity data package exceeds the preset biological activity range. If it exceeds, a corresponding biological activity regulation instruction is sent to the sludge treatment device; If the data classification package is an equipment performance data package, based on the smart contract, it is judged whether the equipment performance data in the equipment performance data package exceeds the preset performance failure range. If it exceeds, a corresponding fault alarm instruction is sent to the sludge treatment device; If the data classification package is a sludge stabilization data package, a first update instruction is generated based on the smart contract, and the first update instruction is used to automatically update the chain - up data corresponding to the sludge stabilization data in the sludge stabilization data package; If the data classification package is a sludge discharge standard data package, a second update instruction is generated based on the smart contract, and the second update instruction is used to automatically update the chain - up data corresponding to the sludge discharge standard data in the sludge discharge standard data package; If the data classification package is the final use data package of sludge, analyze the final use data of sludge in the final use data package of sludge based on the smart contract, and then send a corresponding final decision instruction, where the final decision instruction is used to automatically execute the corresponding disposal process and record the disposal information, and the disposal information includes the disposal location, disposal time, and disposal quantity; Analyze the control instruction based on the artificial intelligence algorithm to determine the corresponding optimization instruction, where the optimization instruction is used to optimize the sludge treatment process.

[0013] By adopting the above technical solution, it is possible to automatically analyze and trigger corresponding control instructions, including temperature control instructions, pH regulation instructions, fault alarm instructions, etc. under different types of data classification packages, so as to achieve precise control of sludge treatment equipment. For different data types, such as temperature, pH, equipment performance, etc., dynamic monitoring and regulation are realized through preset range judgment to ensure the stable operation of the equipment. Based on the smart contract, update instructions and decision instructions are generated, which can automatically update the data on the chain, and at the same time execute the automated disposal process when the sludge treatment standard is met, improving the data traceability ability and decision-making efficiency. By analyzing the control instruction through the artificial intelligence algorithm and generating an optimization instruction, the sludge treatment process is further optimized, thereby improving the overall efficiency of the sludge treatment equipment and the automation level of the system.

[0014] In a preferred example of the present application, it can be further configured as follows: After the step of allowing DAO members to access and query the data on the chain in real time based on the network circulation mechanism and allocating corresponding data access rights according to the determined permission management policy based on the responsibility information of DAO members, it further includes: Obtain the governance decision information; Determine the corresponding data access right according to the governance decision information; Push the corresponding governance decision information to the DAO member corresponding to the data access right; Obtain the decision interaction information of DAO members in real time, and based on the determined incentive mechanism, allocate corresponding token rewards according to the decision interaction information.

[0015] By adopting the above technical solutions, it is possible to provide data access permissions for DAO members based on the network circulation mechanism and permission management strategy, ensuring data transparency and access security. Obtaining governance decision information and pushing it to authorized DAO members in real time further enhances the accuracy of the system in terms of permission allocation and information transmission. DAO members can obtain corresponding governance decision information according to their responsibility information, and through the decision interaction feedback system, record the operations and suggestions of members in real time to ensure the openness and transparency of the decision-making process. By using an incentive mechanism to reward members' participation with tokens, the enthusiasm and participation of members are improved, thus realizing decentralized management and enhancing the autonomy and vitality of the sludge treatment and disposal system.

[0016] The second invention object of this application is achieved through the following technical solutions: The described sludge treatment and disposal device based on Web3 includes: A first acquisition module, used to obtain connection requests of sludge treatment equipment, access multiple Internet of Things sensing devices based on the connection requests to collect sludge treatment data during the sludge treatment process, and obtain operation and management data of the sludge treatment equipment based on the connection requests; A first generation module, used to perform standardization processing and preliminary classification on the sludge treatment data and the operation and management data to generate corresponding data classification packages, and screen out sensitive data in the data classification packages; A deployment module, used to select a blockchain platform and deploy smart contracts supporting the operation of DAO on the blockchain platform; A second generation module, used to encrypt and chain the sensitive data based on the smart contract to generate chained data; An analysis module, used to analyze the corresponding data classification packages based on the smart contract to send corresponding control instructions to the sludge treatment equipment, where the control instructions are used to adjust the operation parameters of the sludge treatment equipment or to update the chained data; A first allocation module, used to allow DAO members to access and query the chained data in real time based on the network circulation mechanism, and allocate corresponding data access permissions according to the responsibility information of DAO members based on the determined permission management strategy.

[0017] The third object of this application is achieved through the following technical solutions: A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described sludge treatment and disposal method based on Web3.

[0018] The fourth object of this application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned sludge treatment and disposal method based on Web3 are realized.

[0019] In summary, the present application includes at least one of the following beneficial technical effects: Through Web3 and DAO technologies, the present application realizes decentralized management of sludge treatment, and solves the problems of strong dependence, high trust risk and opaque data processing in traditional systems. First, the Internet of Things sensing devices are used to collect sludge treatment data and operation management data. By standardizing the processing and screening sensitive data, the structuring of data and privacy protection are ensured. Subsequently, based on the blockchain platform and smart contracts, the sensitive data is encrypted and uploaded to the chain to achieve the immutability and traceability of the data. And through smart contracts, the data is dynamically analyzed, and control instructions are automatically sent to the sludge treatment equipment to adjust the equipment parameters, thereby improving the processing efficiency. DAO members can access and query the data uploaded to the chain in real time based on the permission management strategy, ensuring the transparency and distributed management of the data, effectively reducing the control risk of the centralized institution over the system, and enhancing the credibility and transparency of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flowchart of a sludge treatment and disposal method based on Web3 in an embodiment of the present application.

[0021] Figure 2 is a flowchart of the implementation of step S20 in a sludge treatment and disposal method based on Web3 in an embodiment of the present application; Figure 3 is a flowchart of the implementation of step S30 in a sludge treatment and disposal method based on Web3 in an embodiment of the present application; Figure 4 is another flowchart of the implementation of step S40 in a sludge treatment and disposal method based on Web3 in an embodiment of the present application; Figure 5 is a flowchart of the implementation of step S50 in a sludge treatment and disposal method based on Web3 in an embodiment of the present application; Figure 6 is another flowchart of the implementation of a sludge treatment and disposal method based on Web3 in an embodiment of the present application; Figure 7 is a schematic block diagram of the principle of a sludge treatment and disposal device based on Web3 in an embodiment of the present application; Figure 8 is a schematic diagram of the equipment in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The present application will be further described in detail below with reference to the accompanying drawings.

[0023] In one embodiment, as Figure 1 shown, the present application discloses a sludge treatment and disposal method based on Web3, which specifically includes the following steps: S10. Obtain a connection request of the sludge treatment equipment, access multiple Internet of Things (IoT) sensing devices based on the connection request to collect sludge treatment data during the sludge treatment process, and obtain the operation and management data of the sludge treatment equipment based on the connection request; in this embodiment, obtaining the connection request of the sludge treatment equipment refers to the request signal automatically sent by the equipment or system after establishing a connection in the network to initiate the data collection process. After accessing multiple IoT sensing devices, these sensing devices can collect key data during the sludge treatment process in real time, including sludge treatment data such as temperature, pH value, and biological activity. At the same time, under the connection request, the system can also obtain the operation and management data of the sludge treatment equipment, including management data such as the operating status of the equipment, maintenance records, and operator information. This process can ensure the efficient monitoring and data collection of the sludge treatment process, providing sufficient data support for subsequent data processing and optimization. For example, when a sludge treatment equipment completes preheating and is in the working state, the system will automatically send a connection request to initiate the real-time monitoring of the sensing devices, ensuring that both the treatment data and management data are updated synchronously in the system.

[0024] S20. Perform standardization processing and preliminary classification on the sludge treatment data and operation and management data to generate corresponding data classification packages, and screen out sensitive data from the data classification packages; in this embodiment, the standardization processing of the sludge treatment data and operation and management data refers to processing the collected data into a unified format and structure to ensure the consistency and readability of the data. The preliminary classification is to classify the data into different types of data packages according to the nature of the data, such as temperature data packages, equipment status data packages, etc., for subsequent processing and analysis. In this way, corresponding data classification packages are generated, which contain structured sludge treatment information and management information. The process of screening sensitive data from the data classification packages can ensure data security. For example, data containing operator identity information is identified as sensitive data and thus given special protection. The technical effect of doing so is to improve the efficiency of data processing and ensure privacy security. For example, the standardized data packages can be conveniently used for analysis, while sensitive data can be encrypted and access restricted through special processing methods to ensure data security.

[0025] S30. Select a blockchain platform and deploy a smart contract that supports the operation of a DAO on the blockchain platform. In this embodiment, selecting a blockchain platform means determining a suitable blockchain infrastructure in the sludge treatment system, such as Ethereum or Hyperledger, to support the operation of the smart contract. By deploying a smart contract on the blockchain platform, a management system that supports the operation of a decentralized autonomous organization (DAO) can be established, thus realizing an autonomous management mode without centralized control. As automatically executable program code, the smart contract can process data and record operation logs according to preset conditions, which helps to improve the transparency of the system and the immutability of data. For example, after selecting the Ethereum platform, the smart contract can automatically manage operations such as data uploading to the blockchain and triggering of control instructions during the sludge treatment process, making the treatment process more intelligent and automated.

[0026] S40. Encrypt and upload sensitive data based on the smart contract to generate uploaded data. In this embodiment, encrypting sensitive data based on the smart contract means using an encryption algorithm to encrypt sensitive information through the smart contract before the data is uploaded to ensure the security of the data after it is uploaded to the blockchain. The uploaded data generated after encryption will be written into the blockchain, and these data are immutable, ensuring the security and privacy of the data. Privacy computing technologies such as homomorphic encryption or zero-knowledge proof can be used in the encryption process, so that even if the data is queried on the blockchain, the sensitive content remains confidential. The technical effect is to protect sensitive information from leakage while the data is uploaded to the blockchain and provide a reliable basis for subsequent traceability and verification. For example, when uploading the operation data of sludge treatment equipment, the identity information of the operator will be encrypted to prevent unauthorized access while ensuring the traceability of the equipment status.

[0027] S50. Analyze the corresponding data classification package based on the smart contract to send corresponding control instructions to the sludge treatment equipment. The control instructions are used to adjust the operation parameters of the sludge treatment equipment or to update the uploaded data. In this embodiment, analyzing the corresponding data classification package based on the smart contract means that after receiving the classification data package, the smart contract makes judgments and analyzes according to the data content therein to determine whether it is necessary to adjust the parameters of the sludge treatment equipment or update the uploaded data. The types of control instructions include multiple operations such as temperature control, pH adjustment, and fault warning, aiming to optimize the operation status of the equipment according to real-time data. For example, when the smart contract detects that the pH value data in the classification package exceeds the normal range, it will automatically send a pH adjustment instruction to adjust the chemical dosage to restore the pH value to the ideal range. This implementation effectively ensures the stability of the sludge treatment equipment and the real-time update of data, providing support for the efficient operation of the system.

[0028] S60. Based on the network circulation mechanism, it allows DAO members to access and query the data on the chain in real time, and according to the determined permission management strategy, allocate corresponding data access permissions based on the responsibility information of DAO members. In this embodiment, allowing DAO members to access and query the data on the chain in real time based on the network circulation mechanism means that the system realizes data sharing through the network circulation mechanism of the blockchain, enabling members participating in the DAO to access and query the data on the chain according to their permissions. The permission management strategy is controlled through the governance model of the DAO, and access permissions are allocated according to the responsibility information of DAO members to ensure that members at different levels can only access data related to their responsibilities. This way improves the transparency and traceability of data and prevents unnecessary data exposure. For example, the operator of sludge treatment can view the status information of the treatment equipment in real time, while the supervisor can view all the records on the chain but cannot change the data, which not only ensures the transparency of the system but also improves the security of data and the efficiency of management.

[0029] In summary, through the deep integration of the Internet of Things and blockchain technologies, the present invention realizes a decentralized and transparent sludge treatment and disposal system. First, suitable Internet of Things sensors (such as temperature, pH value, equipment status sensors, etc.) are selected to collect key data during the sludge treatment process in real time, such as equipment operation status, production volume, and energy consumption. These sensors are connected to a unified Internet of Things platform to ensure that data can be collected in real time and efficiently transmitted to the central system. In the data integration and standardization processing step, the system classifies, formats, and structures the collected raw data, integrates multi-source information including personnel, equipment, work order information, etc., and standardizes the data into a unified format to ensure consistency and facilitate analysis and use. Then, the system selects a suitable blockchain platform (such as Ethereum or EOS), uploads the processed standardized data to the chain through smart contracts, and uses the immutability of the blockchain to ensure the authenticity and traceability of the data. The smart contract runs on the blockchain node, presetting automated management rules, and can automatically adjust sludge treatment parameters when the conditions are met to achieve intelligent control of the sludge treatment equipment. The system designs a network circulation mechanism and a permission management strategy to ensure that DAO members can access the data on the chain in real time, allocate corresponding permissions according to their responsibilities, and allow members of different roles to query data according to their permissions, guaranteeing the security and rationality of data access. By reducing the dependence on centralized institutions through a decentralized design, the entire system realizes transparent, trustworthy, and efficient management of the sludge treatment process.

[0030] Specifically, through Web3 and DAO technologies, the decentralized management of sludge treatment is achieved, solving the problems of strong dependence, high trust risk, and opaque data processing in traditional systems. First, Internet of Things sensing devices are used to collect sludge treatment data and operation management data. By standardizing the data and screening sensitive data, the structuring of data and privacy protection are ensured. Subsequently, based on the blockchain platform and smart contracts, the sensitive data is encrypted and uploaded to the blockchain, achieving the immutability and traceability of data. Through smart contracts, the data is dynamically analyzed, and control instructions are automatically sent to sludge treatment equipment to adjust equipment parameters, thereby improving the treatment efficiency. DAO members can access and query the uploaded data in real time based on the permission management strategy, ensuring the transparency and distributed management of data, effectively reducing the control risk of centralized institutions over the system, and enhancing the credibility and transparency of data. Based on the decentralized smart contract technology of Web3, the present invention constructs a DAO architecture for sludge treatment and disposal, uploading each node of the sludge treatment process to the blockchain, achieving the transparency and immutability of data. Each processing node shares data through the blockchain network, ensuring the real-time nature and full traceability of data, and ensuring the reliable recording and secure storage of each processing step. The system endows each node with adaptive operation capabilities through smart contracts, enabling each node to autonomously judge and execute corresponding processing processes according to the data status of other nodes on the blockchain through the central smart contract logic. For example, the smart contract can automatically detect abnormal changes in the data and adaptively issue control instructions according to the preset logic to achieve equipment regulation and process optimization. In addition, each node synchronously updates data in the blockchain, avoiding information silos and improving the collaborative efficiency of the entire sludge treatment process. Compared with the traditional IoT sludge treatment monitoring system, the present invention realizes full transparency and efficient collaboration on the premise of ensuring data security through blockchain technology, providing an innovative solution for the intelligent management of the sludge treatment industry; Web3's decentralized data sharing and blockchain support each other in the concept of decentralization but have different focuses. Both aim to reduce dependence on centralized institutions to improve data security, transparency, and availability, and avoid the monopoly and abuse of a single institution by dispersing control. Although blockchain technology can be an effective way to achieve decentralized data sharing, it is a specific technical means that mainly focuses on data authenticity and immutability, ensuring data integrity through distributed ledgers, consensus mechanisms, and encryption technologies. Decentralized data sharing, on the other hand, encompasses a wider range of implementation means. In addition to blockchain, it can also achieve secure data sharing through distributed storage, peer-to-peer networks, and encryption technologies. There are also differences in their performance. Decentralized data sharing technologies can adjust implementation solutions according to application requirements to meet high-performance needs, while blockchain is relatively limited in high-concurrency processing due to the participation limitations of the consensus mechanism. In addition, decentralized data sharing is applicable to a wide range of data sharing demand scenarios, such as healthcare and government affairs, while blockchain has more advantages in scenarios that require data authenticity guarantee, such as finance, supply chain, and Internet of Things.

[0031] Currently, Web3 in China is still in the R & D stage, and its actual applications are mostly limited to pilots in local networks, forming a regional Web3 concept. Under this framework, the difficulty lies in how to effectively enable each user and device to participate in Web3 implementation together, breaking the traditional single-chain instruction transmission mode. The innovation of our invention is that not only human operators can participate as users, but devices can also join the Web3 network through the Internet of Things. Each node can share the common information within the region, enhancing the intelligent collaboration ability of the overall system. In this architecture, operators can fill in work orders in real time according to the data in the production process, directly completing information updates and instruction synchronization in the data stream. For example, when an operator submits spare part replacement information, the device can automatically identify and adapt relevant instructions. The PLC system will automatically generate a shutdown command based on the filled content (such as the specific model of the replaced spare part) and synchronize with the device to execute the shutdown instantly when the user submits, avoiding the cumbersome process of manually sending additional instructions. Each node in the production chain can generate its own execution operations based on real-time data, achieving efficient and autonomous multi-party collaboration, making the production process in the Web3 environment more intelligent, autonomous, and efficient.

[0032] In one embodiment, as Figure 2 shown, in step S20, that is, the steps of standardizing and initially classifying sludge treatment data and operation management data to generate corresponding data classification packages and screening out sensitive data in the data classification packages include: S201. Perform standardized processing on the sludge treatment data and operation management data, which at least includes data cleaning process, data formatting process, and data structuring process, to generate corresponding standardized data. In this embodiment, performing standardized processing on the sludge treatment data and operation management data means performing a series of preprocessing operations on these data, including data cleaning, data formatting, and data structuring. The data cleaning process is to eliminate incomplete, abnormal, or duplicate data to ensure the accuracy and consistency of the data. The data formatting process is to convert the data into a unified format required by the system, such as converting different time formats into a standard time format to ensure the readability of the data. The data structuring process converts the data into a structured form suitable for subsequent analysis, enabling the data to be stored and utilized more effectively. Through this standardized processing, the generated standardized data not only meets the system format requirements but also improves the accuracy and effectiveness of data analysis. For example, when processing the energy consumption data of sludge treatment equipment, data cleaning can eliminate invalid energy consumption data caused by equipment failures, data formatting can unify all energy consumption data into kilowatt-hour units, and data structuring can organize the data into a structure classified by time, location, and equipment for subsequent analysis and storage.

[0033] S202. According to the determined application process requirements, establish a classification package to be filled and determine the encryption requirement information. In this embodiment, establishing a classification package to be filled means classifying different types of data according to the specific requirements of the application process and establishing corresponding data packages for subsequent filling and induction. These classification packages to be filled usually include types such as sludge treatment data packages, operation management data packages, and sensitive data packages, providing a clear classification basis for the storage and use of various types of data. At the same time, determining the encryption requirement information means setting whether encryption is required for each classification package on the basis of data classification, so as to provide special protection for sensitive data subsequently. For example, for sensitive data packages containing personnel identities and equipment operation statuses, the encryption requirement information will be marked as "requiring encryption" to ensure that these data are encrypted before being uploaded to the chain to avoid the leakage of sensitive information. Through the determination of this classification and encryption requirement information, the system can achieve hierarchical processing and privacy protection of data, improving data security while meeting business requirements.

[0034] S203. According to the attribute information of the standardized data, match each piece of standardized data to its corresponding classification package to be filled, so as to generate corresponding data classification packages. In this embodiment, data classification and matching according to the attribute information of the standardized data means automatically classifying it into the corresponding classification package by identifying the attribute characteristics of the data. For example, the system will allocate device status data to the device information data package and personnel-related information to the personnel data package according to attributes such as the data source, content, and application scenario, thereby generating each classification package. This process can ensure that data is classified according to specific attributes, facilitating subsequent processing and querying. In addition, when generating the classification package, the system will mark sensitive data packages as "need to be encrypted" according to the pre-set encryption requirement information, providing a basis for the encryption operation before uploading to the chain. Through this classification and matching method, different types of data can be clearly distinguished, which is conducive to the efficient management and privacy protection of data by the system. For example, sludge treatment data is matched to the process data package, while operation management data containing the operator's identity is classified into the personnel data package, thus ensuring the classification rationality and management effectiveness of data during the processing.

[0035] S204. According to the encryption requirement information, determine the corresponding sensitive data in each data classification package. In this embodiment, determining sensitive data according to the encryption requirement information means identifying the sensitive data contained therein according to the marked encryption requirements in each data classification package. Sensitive data usually refers to data involving privacy or requiring protection, such as the identity information of operators and the core parameters of device operation. These data have a risk of leakage without encryption. After the system filters out sensitive data in each classification package, it marks them as data to be encrypted to ensure that the encryption process is completed before the data is uploaded to the chain, guaranteeing the security and privacy of the data. For example, after the personnel data package containing operator information is marked as "need to be encrypted", the system will encrypt the identity data therein, while other process data packages that do not need to be encrypted do not need to go through encryption, thus improving the efficiency of data processing while ensuring the privacy of sensitive data. The reasonable application of this encryption requirement not only effectively protects privacy data but also ensures that the system data can be stored and traced securely and transparently on the blockchain.

[0036] In summary, in this technical solution, by deploying intelligent sensors in the sewage treatment plant, key parameters during the sludge generation process are collected in real time, such as the sludge generation volume, pH value, temperature, humidity, etc., to form a real-time monitoring system. The intelligent sensors will conduct a preliminary classification of the collected data, simply distinguish the data by type, which is convenient for subsequent transmission and processing. The data is transmitted to the remote data center through a high-speed wireless network (such as 5G), achieving real-time and efficient data transmission. In the data center, the system cleans the collected data to eliminate outliers or incomplete data, ensuring data accuracy; at the same time, the data is formatted and structured to meet the unified format and structure requirements, facilitating subsequent analysis and use. In this way, the data after cleaning and standardization is more consistent and readable, providing a reliable data basis for subsequent data analysis, optimization, and decision-making, improving the data processing efficiency and data quality during the sludge treatment process, and ensuring comprehensive monitoring and management of the sludge treatment process.

[0037] In one embodiment, as Figure 3 shown, in step S30, that is, the step of selecting a blockchain platform and deploying an intelligent contract supporting DAO operation on the blockchain platform, includes: S301. According to the determined application process requirements, select the corresponding blockchain platform; in this embodiment, selecting the corresponding blockchain platform according to the application process requirements means selecting a suitable infrastructure platform from the existing blockchain platforms according to the actual requirements of the sludge treatment and disposal system. Different blockchain platforms vary in processing power, data storage methods, intelligent contract compatibility, and scalability. By analyzing the system's requirements for data transparency, security, and real-time performance, a platform that meets the requirements is determined. For example, select the Ethereum platform to support intelligent contract operations, or select the Hyperledger platform to support the privacy and efficiency of the consortium chain. This selection process ensures that the blockchain platform can support the DAO governance structure while meeting the needs of data uploading, transparent management, and data security in the sludge treatment process. For example, in the case of higher data processing speed requirements and strict permission control, the Hyperledger platform may be an ideal choice.

[0038] S302. Establish blockchain nodes and smart contracts in the blockchain platform. In this embodiment, establishing blockchain nodes and smart contracts in the blockchain platform means building specific system infrastructure on the selected platform. A blockchain node is a data processing and storage unit of the system. Multiple nodes can implement a decentralized data storage and verification mechanism to ensure the security of the system and the consistency of data. A smart contract is an automatically executed protocol based on code that realizes automated management operations through predefined rules. For example, when establishing nodes, different nodes can be set for sludge treatment equipment and data centers to store and process data in a decentralized manner, avoiding single-point failure problems. At the same time, the smart contract is deployed on the nodes, facilitating the system to automatically trigger execution through preset conditions. For instance, when the key parameters of sludge treatment exceed the set threshold, the smart contract can automatically issue instructions to ensure the intelligence and automation of sludge treatment.

[0039] S303. Write the code in the smart contract to define the corresponding automatically executed rules. The automatically executed rules at least include dynamic optimization rules and encrypted uploading rules. Among them, the dynamic optimization rules are used to analyze each data classification package to achieve dynamic optimization of the sludge treatment process, and the encrypted uploading rules are used to encrypt sensitive data through the smart contract and upload it to the corresponding blockchain node. In this embodiment, writing the code in the smart contract to define the corresponding automatically executed rules means writing logical code in the smart contract to realize the automated operation management of the system. The automatically executed rules include two parts: dynamic optimization rules and encrypted uploading rules. The dynamic optimization rules are responsible for analyzing the processing data in the data classification package and performing real-time analysis according to the preset optimization logic to achieve the automatic optimization of the sludge treatment process and ensure that the system can dynamically adjust device parameters during operation. For example, when the system monitors that the processing temperature exceeds the set value, the dynamic optimization rules can trigger a temperature control instruction to adjust the device temperature and ensure the stability and efficiency of the processing process. The encrypted uploading rules are used to encrypt sensitive data to ensure that the encryption process is completed before the data is uploaded to avoid privacy risks caused by storing sensitive data on the public chain. Through the encrypted uploading rules, sensitive data is protected during transmission and storage, ensuring that the data remains secure when stored in the blockchain node and meeting the system's requirements for data privacy and security.

[0040] In one embodiment, as Figure 4 shown, in step S40, that is, the step of encrypting and uploading sensitive data based on the smart contract includes: S401. Based on the encryption and uploading rules, encrypt the sensitive data through the homomorphic encryption technology, and perform data calculation and analysis in the encrypted state to generate corresponding calculation and analysis results. In this embodiment, encrypting the sensitive data through the homomorphic encryption technology based on the encryption and uploading rules means that before uploading the data to the blockchain, use the homomorphic encryption algorithm to encrypt the sensitive information to ensure that the data can complete the calculation and analysis without being decrypted. Homomorphic encryption is a technology that can perform operations in the encrypted state of the data, ensuring that the system can calculate and analyze the data even under encrypted conditions. This method can not only protect the privacy of sensitive data but also obtain the analysis results without affecting privacy. For example, the sludge composition information in the sludge treatment system can still be used for calculation and analysis after being encrypted, but the original data will not be exposed, preventing the data from being stolen during transmission and storage. Through this encryption method, the system can ensure the security and privacy of sensitive data, while improving the flexibility of data calculation, providing safe and real-time analysis results for the sludge treatment process.

[0041] S402. Generate a zero-knowledge proof according to the calculation and analysis results. In this embodiment, generating a zero-knowledge proof according to the calculation and analysis results means that after generating the calculation and analysis results, construct a proof that can only verify the correctness of the calculation results through the zero-knowledge proof technology without revealing the specific data content. Zero-knowledge proof is an encryption method that can verify the authenticity or accuracy of data without exposing the original data, thereby protecting the privacy of the data. After generating the zero-knowledge proof, it can prove the authenticity of the calculation results to the verifier without providing the sensitive data itself. For example, in the sludge treatment system, the accuracy of the sludge composition analysis results can be proved to the verifier through the zero-knowledge proof without disclosing the specific composition data. This method not only ensures data security but also enhances the credibility of the analysis results, enabling the parallel implementation of data privacy protection and credible verification.

[0042] S403. Send the corresponding zero-knowledge proof to the corresponding verification object to generate the corresponding verification result. In this embodiment, sending the corresponding zero-knowledge proof to the corresponding verification object to generate the corresponding verification result means that after generating the zero-knowledge proof, transfer the proof to the object or node with verification authority in the system, and let it verify the proof to confirm the accuracy and credibility of the analysis results. The verification object will judge whether the analysis results are credible based on the evidence provided by the zero-knowledge proof and generate a verification result to ensure that the calculation process meets the expectations and the data has not been tampered with. For example, in the sludge treatment system, the generated zero-knowledge proof can be sent to the regulatory node or the auditing party to verify the authenticity of the analysis results, ensuring that the data processing in the sludge treatment process meets the standards and expected requirements. This process realizes the balance between data privacy and data verification, enabling the data to be safely verified without exposing the specific content.

[0043] S404. Upload the calculation and analysis results and the verification results to the blockchain node. In this embodiment, uploading the calculation and analysis results and the verification results to the blockchain node means that after verifying the calculation and analysis results, the analysis results and their verification results are stored on the blockchain node together to ensure the immutability and traceability of these data. The blockchain node provides a secure and transparent storage environment for the data, ensuring that the data uploaded to the blockchain cannot be tampered with, so that the analysis results and verification information can be traced and reviewed at any time. By uploading the analysis results and the verification results to the blockchain, all data and verification information in the system have the characteristics of persistent storage and public accessibility. For example, in a sludge treatment system, the verified sludge composition analysis results and the corresponding verification certificates are uploaded to the blockchain together to ensure that the authenticity of each piece of data can be queried and verified later, improving the transparency of the system and the reliability of data management.

[0044] In one embodiment, as Figure 5 shown, in step S50, that is, in the step of analyzing the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment device, where the control instruction is used to adjust the operating parameters of the sludge treatment device or to update the data uploaded to the blockchain, the control instruction includes a temperature control instruction, a pH regulation instruction, a fault alarm instruction, a first update instruction, a second update instruction, and a final decision instruction, and the step further includes: S501. If the data classification package is a temperature data package, judge whether the temperature data in the temperature data package exceeds the preset temperature range based on the smart contract. If it exceeds, send a corresponding temperature control instruction to the sludge treatment device; In this embodiment, if the data classification package is a temperature data package, the system will analyze the temperature data in it in real time through the smart contract to judge whether the temperature exceeds the preset safety or operating range. The temperature data package contains the temperature information in the sludge treatment process, and this information can be collected by the temperature sensors installed in the device and transmitted to the system in real time. When the temperature data exceeds the set upper or lower limit, the smart contract will automatically generate a temperature control instruction to adjust the operating parameters of the device, such as turning on or adjusting the cooling system, to ensure that the sludge treatment environment is maintained within a reasonable temperature range. For example, if the sensor monitors that the temperature rises above the preset range, the smart contract can immediately send a cooling instruction to start the cooling system, thus avoiding the adverse effects of high temperature on the sludge treatment efficiency and equipment safety. This automated control method can improve the stability and safety of the treatment process and reduce the need for manual intervention.

[0045] S502. If the data classification packet is a pH data packet, it is determined based on the smart contract whether the pH data in the pH data packet exceeds the preset pH range. If it exceeds, a corresponding pH regulation instruction is sent to the sludge treatment equipment. In this embodiment, if the data classification packet is a pH data packet, the system will detect the pH (pH value) data therein through the smart contract to determine whether it exceeds the preset pH range. The pH data packet contains the pH value information during the sludge treatment process, and the acid-base state of the sludge is monitored in real time through a pH sensor. When it is detected that the pH data exceeds the preset range, the smart contract will automatically generate a pH regulation instruction, such as adjusting the dosage of the chemical agent and increasing the alkaline or acidic agent to restore the pH value to the ideal range. For example, when the smart contract detects that the sludge is acidic, it will automatically send a regulation instruction to the dosing system, causing the dosing system to increase the dosage of the alkaline agent to balance the pH value of the sludge. This regulation method can ensure the stability of the sludge treatment environment, improve the treatment effect, reduce the risk of side reactions of the sludge under unsuitable pH conditions, and ensure the efficient operation of the entire treatment process.

[0046] S503. If the data classification packet is a biological activity data packet, it is determined based on the smart contract whether the biological activity data in the biological activity data packet exceeds the preset biological activity range. If it exceeds, a corresponding biological activity regulation instruction is sent to the sludge treatment equipment. In this embodiment, if the data classification packet is a biological activity data packet, the system will monitor the biological activity data during the sludge treatment process through the smart contract to determine whether it is within the preset biological activity range. The biological activity data packet usually contains the activity information of microorganisms, reflecting the biodegradation state of the sludge during the treatment process, and these data are collected through biological activity sensors. If the biological activity data is lower than the preset standard, the smart contract will automatically send a biological activity regulation instruction, such as adjusting the dosage of nutrients, to activate or maintain the activity of microorganisms in the sludge. For example, if it is detected that the biological activity is low, the system will automatically send a regulation instruction to the sludge treatment equipment to increase the nutrients or adjust the ventilation volume to maintain the biological activity at the optimal level. This can ensure the biodegradation efficiency of the sludge treatment process, improve the overall treatment effect, and at the same time reduce the treatment time and energy consumption.

[0047] S504. If the data classification packet is a device performance data packet, then based on the smart contract, it is judged whether the device performance data in the device performance data packet exceeds the preset performance failure range. If it exceeds, a corresponding fault alarm instruction is sent to the sludge treatment device; in this embodiment, the device performance data packet refers to a data set containing the operating status of the sludge treatment device, and the data therein is used to reflect the working conditions and performance indicators of the device, such as key performance parameters such as temperature, vibration frequency, current, and voltage. Judging whether the device performance data in the device performance data packet exceeds the preset performance failure range based on the smart contract means that the smart contract will automatically analyze each performance parameter in the data packet and compare it with the preset performance standard. If a certain parameter value exceeds the set fault threshold (for example, the temperature of the device exceeds the safe temperature range), the smart contract will consider that the device may have a fault risk. At this time, the smart contract will trigger and send a fault alarm instruction to the sludge treatment device to notify the device or management personnel to check and repair the device status. In this way, through the real-time monitoring and judgment of the smart contract, the system can issue an alarm in advance before the device fails, thus avoiding the reduction of processing efficiency and potential safety hazards caused by device failures. For example, when the temperature sensor of the sludge treatment device detects that the device temperature is too high, the smart contract will identify the abnormality and immediately send an alarm signal to remind the maintenance personnel to check and cool down, ensuring the continuous high efficiency and safety of the sludge treatment process.

[0048] S505. If the data classification packet is a sludge stabilization data packet, then a first update instruction is generated based on the smart contract, and the first update instruction is used to automatically update the on-chain data corresponding to the sludge stabilization data in the sludge stabilization data packet; in this embodiment, the sludge stabilization data packet refers to the key data recorded during the sludge stabilization process, covering the volume change of the sludge, the degree of decomposition of organic matter, time, temperature, the use of chemical additives, etc. These data are very important during the sludge stabilization process because sludge stabilization involves degrading organic matter to a safe level to make it suitable for subsequent treatment or harmless disposal. The first update instruction generated based on the smart contract is an automated operation instruction used to synchronously update the latest stabilization data to the blockchain after the sludge treatment meets the set stabilization requirements, thereby ensuring the transparency and immutability of the data. For example, if the sludge stabilization process is completed through anaerobic digestion, the smart contract will automatically record the completion time, digestion temperature, and the dosage of chemicals added during the process. After the smart contract generates the first update instruction, it uploads this new sludge stabilization state to the chain to ensure that all relevant data can be traced, further enhancing the reliability of the system data and the transparency of the sludge treatment process.

[0049] S506. If the data classification package is a sludge discharge standard data package, a second update instruction is generated based on the smart contract. The second update instruction is used to automatically update the on-chain data corresponding to the sludge discharge standard data in the sludge discharge standard data package. In this embodiment, the sludge discharge standard data package refers to a classification data package containing information related to sludge discharge. The content therein is usually used to verify whether the sludge meets the specified discharge standards, ensuring that the sludge does not pollute the environment during the discharge process. Generating the second update instruction based on the smart contract means that when the system identifies that the data classification package is a sludge discharge standard data package, the smart contract will automatically trigger the generation of the corresponding update instruction. This instruction is used to compare the latest data in the sludge discharge standard data package with the historical on-chain data and automatically update the relevant information according to the latest discharge standard requirements. This process can ensure the timeliness and accuracy of sludge discharge data, preventing environmental risks caused by data lag. For example, when the sludge meets the harmless treatment standard after treatment, the smart contract generates a second update instruction to upload the new discharge data to the chain and overwrite the old data, so that all discharge data can meet the latest standards. This method not only realizes the dynamic update of sludge discharge data but also ensures the transparency and compliance of discharge records, improving the system's management and traceability capabilities for the sludge discharge process.

[0050] S507. If the data classification package is a sludge end-use data package, the smart contract analyzes the sludge end-use data in the sludge end-use data package and then sends the corresponding final decision instruction. The final decision instruction is used to automatically execute the corresponding disposal process and record the disposal information. The disposal information includes the disposal location, disposal time, and disposal quantity. In this embodiment, the sludge end-use data package refers to a classification package containing specific use data suitable for the sludge after treatment. These uses may include land use, landfill, as building materials, etc. Analyzing the sludge end-use data package based on the smart contract can make a judgment on the final disposal method of the sludge. After analyzing these use data, the smart contract will automatically generate and send the corresponding final decision instruction to ensure that each disposal method can be executed in accordance with environmental protection regulations and safety standards. The final decision instruction not only directly initiates the corresponding disposal process but also automatically records the disposal information, including the specific disposal location, disposal time, and the quantity of sludge disposed. Such a design can ensure that all disposal information is transparent and traceable, avoiding errors or deviations in manual operations and making the final disposal method of the sludge conform to the specified use requirements. For example, when the sludge is determined to be suitable as a land fertilizer, the smart contract will send an instruction to execute the land use process and record the corresponding site location, disposal date, and the amount of sludge applied at the same time, ensuring that the data can be traced and audited, thereby improving the compliance and processing efficiency of the system.

[0051] S508. Analyze the control instructions based on artificial intelligence algorithms to determine corresponding optimization instructions, which are used to optimize the sludge treatment process. In this embodiment, analyzing the control instructions based on artificial intelligence algorithms to determine corresponding optimization instructions means using artificial intelligence technology to deeply analyze the control instructions generated during the sludge treatment process, and extracting key information that helps improve the efficiency of the treatment process. Artificial intelligence algorithms can include machine learning and deep learning models. By analyzing historical data, equipment operation records, and various environmental parameters during the sludge treatment process, artificial intelligence can identify the optimal treatment mode and equipment parameter settings. For example, the system can use data such as treatment efficiency and energy consumption costs, combined with real-time monitored treatment parameters (such as temperature, pH value), and automatically identify the optimal temperature control range and chemical dosage through an artificial intelligence model, thereby improving the treatment effect and resource recovery rate without increasing additional energy consumption. This process not only reduces the need for manual adjustment but also improves the system's adaptability, enabling the sludge treatment process to achieve automatic optimization and efficient operation according to different conditions.

[0052] Specifically, the artificial intelligence algorithm performs data cleaning, preprocessing, and feature extraction on the data collected during the sludge treatment process, and inputs this data into a machine learning or deep learning model to learn historical patterns, thereby predicting the optimal control parameters. Based on these analyses, the system can generate corresponding optimization instructions to guide the equipment to adjust operation parameters. For example, by analyzing the water content and chemical residue in the sludge, the artificial intelligence algorithm can optimize the chemical dosage, thereby reducing chemical waste while ensuring sufficient treatment of the sludge. This data-driven optimization method ensures that the system can dynamically adjust the process according to the actual treatment effect, not only reducing the operating cost but also improving the resource utilization rate and treatment efficiency. Additionally, after generating the optimization instructions, the system will automatically adjust the equipment status according to specific treatment requirements, thereby achieving an efficient treatment process. For example, the system can adjust the oxygen supply level during the treatment of sludge with high biological activity to accelerate microbial metabolism and shorten the treatment time. The application of this artificial intelligence algorithm provides an intelligent management method for the sludge treatment process, making equipment operation more refined and efficient, and achieving reasonable utilization of resources and optimization of treatment costs.

[0053] In one embodiment, as Figure 6 shown, after step S60, that is, after the step of allowing DAO members to access and query the on-chain data in real time based on the network circulation mechanism and allocating corresponding data access permissions according to the determined permission management strategy based on the responsibility information of the DAO members, the following steps are further included: S71. Obtain governance decision information; in this embodiment, obtaining governance decision information refers to obtaining decision-making data and suggestions regarding the management and operation of the sludge treatment system from DAO members. Governance decision information typically includes content such as operation process optimization, resource allocation adjustment, and equipment maintenance plans. These pieces of information directly affect the system's operation efficiency and resource utilization rate. By aggregating the governance decision information of DAO members, the system can obtain multiple opinions, making the overall management more scientific and transparent. For example, when the system needs to update the maintenance cycle of sludge treatment equipment, DAO members can put forward corresponding governance decision suggestions to ensure that the maintenance plan can meet the actual needs and improve the stability of equipment operation.

[0054] S72. Determine the corresponding data access permissions according to the governance decision information; in this embodiment, determining the corresponding data access permissions according to the governance decision information means that after obtaining the governance decision information of DAO members, the system assigns corresponding access permissions based on the decision-making content and responsibilities of each member. The allocation of data access permissions is adjusted according to the role and responsibility of each member to ensure that each member can access the on-chain data related to their governance decisions within the scope of their permissions. For example, for members responsible for maintenance, the system will open the access permissions to equipment operation data and maintenance records; while for management members, they can access the overall processing efficiency and resource utilization situation. This allocation of permissions makes data access more accurate and efficient, ensuring that the operations of each member are limited to their responsible areas, thereby improving data security and management rationality.

[0055] S73. Push the corresponding governance decision information to the DAO members corresponding to the data access permissions; in this embodiment, pushing the corresponding governance decision information to the DAO members corresponding to the data access permissions means that after confirming the governance decision information and the permissions of each member, the system pushes the corresponding decision content to the member terminals with the corresponding permissions. Through this information push mechanism, DAO members can receive governance information related to their responsibilities in a timely manner, ensuring the efficient and transparent implementation process of decisions. For example, when the system confirms that a decision involves an adjustment to the sludge treatment process, the system pushes this governance decision to the members responsible for specific operations, enabling them to adjust the treatment parameters according to the latest instructions, thereby enhancing the refined management ability of sludge treatment.

[0056] S74. Obtain the decision interaction information of DAO members in real time, and based on the determined incentive mechanism, allocate corresponding token rewards according to the decision interaction information. In this embodiment, obtaining the decision interaction information of DAO members in real time and allocating corresponding token rewards based on the determined incentive mechanism means that the system records the feedback and operation information of DAO members on governance decisions in real time, and allocates token rewards to members who actively participate in decisions according to the preset incentive mechanism. The decision interaction information includes members' opinions on governance decisions, adjustment suggestions, and actual operation situations. The system evaluates the participation and contribution degrees of members based on this interaction information, and thus gives reasonable rewards. For example, after a member proposes an optimization suggestion and actively executes relevant adjustments, the system will record this interaction information and automatically allocate corresponding token rewards after they complete the relevant tasks. This mechanism not only improves the enthusiasm of members to participate, but also promotes the co-governance of DAO members on the sludge treatment system, achieving the synchronous improvement of governance efficiency and incentive mechanism.

[0057] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0058] In one embodiment, a sludge treatment and disposal device based on Web3 is provided. This sludge treatment and disposal device based on Web3 corresponds one-to-one with the sludge treatment and disposal method based on Web3 in the above embodiment. As Figure 7 shown, this sludge treatment and disposal device based on Web3 includes a first acquisition module, a first generation module, a deployment module, a second generation module, an analysis module, and a first allocation module. The detailed description of each functional module is as follows: The first acquisition module is used to obtain connection requests of sludge treatment equipment, access multiple Internet of Things sensing devices based on the connection requests to collect sludge treatment data during the sludge treatment process, and obtain the operation and management data of the sludge treatment equipment based on the connection requests; The first generation module is used to perform standardized processing and preliminary classification on the sludge treatment data and the operation and management data to generate corresponding data classification packages, and screen out sensitive data from the data classification packages; The deployment module is used to select a blockchain platform and deploy a smart contract that supports the operation of DAO on the blockchain platform; The second generation module is used to encrypt and chain the sensitive data based on the smart contract to generate chained data; An analysis module, which is used to analyze the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment equipment. The control instruction is used to adjust the operating parameters of the sludge treatment equipment or to update the data uploaded to the blockchain. A first allocation module, which is used to allow DAO members to access and query the data uploaded to the blockchain in real time based on the network circulation mechanism, and allocate corresponding data access permissions according to the determined permission management strategy and the responsibility information of the DAO members.

[0059] Optionally, the first generation module includes: A first generation unit, which is used to perform standardization processing on the sludge treatment data and the operation management data, including at least a data cleaning process, a data formatting process, and a data structuring process, to generate corresponding standardized data. A first establishment unit, which is used to establish a classification package to be filled and determine the encryption requirement information according to the determined application process requirements. A second generation unit, which is used to match each of the standardized data to its corresponding classification package to be filled according to the attribute information of the standardized data to generate a corresponding data classification package. A determination unit, which is used to determine the corresponding sensitive data in each of the data classification packages according to the encryption requirement information. Optionally, the deployment module includes: A selection unit, which is used to select a corresponding blockchain platform according to the determined application process requirements. A second establishment unit, which is used to establish a blockchain node and a smart contract in the blockchain platform. A writing unit, which is used to write the code in the smart contract to define corresponding automatic execution rules. The automatic execution rules at least include a dynamic optimization rule and an encrypted upload rule. The dynamic optimization rule is used to analyze each of the data classification packages to realize the dynamic optimization of the sludge treatment process, and the encrypted upload rule is used to encrypt the sensitive data through the smart contract and upload it to the corresponding blockchain node. Optionally, the second generation module includes: A third generation unit, which is used to encrypt the sensitive data through the homomorphic encryption technology based on the encrypted upload rule, perform data calculation and analysis in the encrypted state to generate a corresponding calculation and analysis result. A fourth generation unit, which is used to generate a zero-knowledge proof according to the calculation and analysis result. A fifth generation unit, which is used to send the corresponding zero-knowledge proof to the corresponding verification object to generate a corresponding verification result. An upload unit, which is used to upload the calculation and analysis result and the verification result to the blockchain node. Optionally, the analysis module includes: A first sending unit, configured to, if the data classification packet is a temperature data packet, determine, based on the smart contract, whether the temperature data in the temperature data packet exceeds a preset temperature range, and if so, send a corresponding temperature control instruction to the sludge treatment device; A second sending unit, configured to, if the data classification packet is a pH data packet, determine, based on the smart contract, whether the pH data in the pH data packet exceeds a preset pH range, and if so, send a corresponding pH regulation instruction to the sludge treatment device; A third sending unit, configured to, if the data classification packet is a biological activity data packet, determine, based on the smart contract, whether the biological activity data in the biological activity data packet exceeds a preset biological activity range, and if so, send a corresponding biological activity regulation instruction to the sludge treatment device; A fourth sending unit, configured to, if the data classification packet is an equipment performance data packet, determine, based on the smart contract, whether the equipment performance data in the equipment performance data packet exceeds a preset performance failure range, and if so, send a corresponding fault alarm instruction to the sludge treatment device; A sixth generating unit, configured to, if the data classification packet is a sludge stabilization data packet, generate a first update instruction based on the smart contract, where the first update instruction is used to automatically update the on-chain data corresponding to the sludge stabilization data in the sludge stabilization data packet; A seventh generating unit, configured to, if the data classification packet is a sludge discharge standard data packet, generate a second update instruction based on the smart contract, where the second update instruction is used to automatically update the on-chain data corresponding to the sludge discharge standard data in the sludge discharge standard data packet; A fifth sending unit, configured to, if the data classification packet is a sludge final use data packet, analyze the sludge final use data in the sludge final use data packet based on the smart contract, and then send a corresponding final decision instruction, where the final decision instruction is used to automatically execute a corresponding disposal process and record disposal information, and the disposal information includes a disposal location, a disposal time, and a disposal quantity; An analysis unit, configured to analyze the control instruction based on an artificial intelligence algorithm to determine a corresponding optimization instruction, where the optimization instruction is used to optimize the sludge treatment process; Optionally, the sludge treatment and disposal method based on Web3 further includes: A second obtaining module, configured to obtain governance decision information; A determining module, configured to determine a corresponding data access right according to the governance decision information; A push module for pushing corresponding governance decision information to the DAO members corresponding to the data access rights; A second allocation module for real-time obtaining of the decision interaction information of DAO members and, based on a determined incentive mechanism, allocating corresponding token rewards according to the decision interaction information.

[0060] For the specific limitations of a Web3-based sludge treatment and disposal device, reference can be made to the limitations of a Web3-based sludge treatment and disposal method in the foregoing text, which will not be elaborated herein. Each module in the above-mentioned Web3-based sludge treatment and disposal device can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to the above-mentioned modules.

[0061] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 8 shown. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a Web3-based sludge treatment and disposal method.

[0062] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: S10. Obtain a connection request of a sludge treatment device, access multiple Internet of Things sensing devices based on the connection request to collect sludge treatment data during the sludge treatment process, and obtain the operation and management data of the sludge treatment device based on the connection request; S20. Perform standardization processing and preliminary classification on the sludge treatment data and the operation and management data to generate corresponding data classification packages, and screen out sensitive data from the data classification packages; S30. Select a blockchain platform and deploy a smart contract supporting the operation of DAO on the blockchain platform; S40. Encrypt the sensitive data based on the smart contract and upload it to the blockchain to generate uploaded data; S50. Analyze the corresponding data classification package based on the smart contract to send corresponding control instructions to the sludge treatment equipment. The control instructions are used to adjust the operating parameters of the sludge treatment equipment or to update the data on the chain. S60. Based on the network circulation mechanism, allow DAO members to access and query the data on the chain in real time, and allocate corresponding data access permissions according to the determined permission management policy based on the responsibility information of the DAO members.

[0063] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: S10. Obtain the connection request of the sludge treatment equipment, access multiple Internet of Things sensing devices based on the connection request to collect sludge treatment data during the sludge treatment process, and obtain the operation management data of the sludge treatment equipment based on the connection request. S20. Perform standardization processing and preliminary classification on the sludge treatment data and operation management data to generate corresponding data classification packages, and screen out sensitive data from the data classification packages. S30. Select a blockchain platform and deploy a smart contract that supports the operation of the DAO on the blockchain platform. S40. Encrypt and upload the sensitive data based on the smart contract to generate the data on the chain. S50. Analyze the corresponding data classification package based on the smart contract to send corresponding control instructions to the sludge treatment equipment. The control instructions are used to adjust the operating parameters of the sludge treatment equipment or to update the data on the chain. S60. Based on the network circulation mechanism, allow DAO members to access and query the data on the chain in real time, and allocate corresponding data access permissions according to the determined permission management policy based on the responsibility information of the DAO members.

[0064] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0066] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A sludge treatment and disposal method based on Web3, characterized in that: The Web3-based sludge treatment and disposal method includes: Obtaining a connection request from a sludge treatment device, accessing a plurality of IoT sensor devices based on the connection request to collect sludge treatment data during the sludge treatment process, and obtaining operation management data of the sludge treatment device based on the connection request; Standardizing and preliminarily classifying the sludge treatment data and the operation management data to generate corresponding data classification packages, and screening out sensitive data in the data classification packages; Select a blockchain platform and deploy smart contracts on the blockchain platform to support the operation of the DAO; Encrypting the sensitive data based on the smart contract and uploading it to the chain to generate uploading data; Analyze the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment equipment, where the control instruction is used to adjust the operating parameters of the sludge treatment equipment or to update the on-chain data; Based on the network circulation mechanism, DAO members are allowed to access and query the on-chain data in real time, and according to the determined permission management strategy, corresponding data access rights are allocated according to the responsibility information of DAO members.

2. A Web3-based sludge treatment and disposal method according to claim 1, characterized in that: The steps of standardizing and preliminarily classifying the sludge treatment data and the operation management data to generate corresponding data classification packages, and screening out sensitive data in the data classification packages include: Performing standardization processing on the sludge treatment data and the operation management data, which at least includes a data cleaning process, a data formatting process, and a data structuring process, to generate corresponding standardized data; According to the determined application process requirements, establish the classification package to be filled and determine the encryption requirement information; According to the attribute information of the standardized data, each of the standardized data is matched to the corresponding classification package to be filled, so as to generate a corresponding data classification package; According to the encryption requirement information, corresponding sensitive data is determined in each of the data classification packages.

3. A Web3-based sludge treatment and disposal method according to claim 2, characterized in that: The step of selecting a blockchain platform and deploying a smart contract supporting the operation of the DAO on the blockchain platform includes: Select the corresponding blockchain platform based on the determined application process requirements; Establishing blockchain nodes and smart contracts in the blockchain platform; Write the code in the smart contract to define the corresponding automatic execution rules, and the automatic execution rules include at least dynamic optimization rules and encryption and chain rules, wherein the dynamic optimization rules are used to analyze each of the data classification packages to achieve dynamic optimization of the sludge treatment process, and the encryption and chain rules are used to encrypt the sensitive data through the smart contract and chain it to the corresponding blockchain node.

4. A Web3-based sludge treatment and disposal method according to claim 3, characterized in that: The step of encrypting the sensitive data based on the smart contract and uploading it to the chain includes: Based on the encryption and chaining rules, the sensitive data is encrypted through homomorphic encryption technology, and data calculation and analysis are performed in an encrypted state to generate corresponding calculation and analysis results; Generate a zero-knowledge proof based on the calculation and analysis results; Send the corresponding zero-knowledge proof to the corresponding verification object to generate the corresponding verification result; The calculation and analysis results and the verification results are uploaded to the blockchain node.

5. A Web3-based sludge treatment and disposal method according to claim 1, characterized in that: In the step of analyzing the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment equipment, the control instruction is used to adjust the operating parameters of the sludge treatment equipment, or to update the on-chain data, the control instruction includes a temperature control instruction, a pH control instruction, a fault alarm instruction, a first update instruction, a second update instruction and a final decision instruction, and the step also includes: If the data classification package is a temperature data package, then based on the smart contract, it is determined whether the temperature data in the temperature data package exceeds a preset temperature range. If so, a corresponding temperature control instruction is sent to the sludge treatment equipment; If the data classification package is a pH data package, then based on the smart contract, it is determined whether the pH data in the pH data package exceeds a preset pH range. If so, a corresponding pH control instruction is sent to the sludge treatment equipment; If the data classification package is a biological activity data package, then judging whether the biological activity data in the biological activity data package exceeds a preset biological activity range based on the smart contract, and if so, sending a corresponding biological activity control instruction to the sludge treatment equipment; If the data classification package is an equipment performance data package, then based on the smart contract, it is determined whether the equipment performance data in the equipment performance data package exceeds a preset performance fault range. If so, a corresponding fault alarm instruction is sent to the sludge treatment equipment; If the data classification package is a sludge stabilization data package, a first update instruction is generated based on the smart contract, and the first update instruction is used to automatically update the on-chain data corresponding to the sludge stabilization data in the sludge stabilization data package; If the data classification package is a sludge discharge standard data package, a second update instruction is generated based on the smart contract, and the second update instruction is used to automatically update the on-chain data corresponding to the sludge discharge standard data in the sludge discharge standard data package; If the data classification package is a sludge final use data package, the sludge final use data in the sludge final use data package is analyzed based on the smart contract, and then a corresponding final decision instruction is sent, and the final decision instruction is used to automatically execute a corresponding disposal process and record disposal information, and the disposal information includes a disposal location, a disposal time, and a disposal quantity; Based on an artificial intelligence algorithm, the control instructions are analyzed to determine corresponding optimization instructions, and the optimization instructions are used to optimize the sludge treatment process.

6. A Web3-based sludge treatment and disposal method according to claim 1, characterized in that: The steps of allowing DAO members to access and query the on-chain data in real time based on the network circulation mechanism and allocating corresponding data access rights according to the determined authority management strategy and the responsibility information of DAO members also include: Obtain information for governance decisions; Determining the corresponding data access rights according to the governance decision information; Push the corresponding governance decision information to the DAO members corresponding to the data access rights; The decision interaction information of DAO members is obtained in real time, and based on the determined incentive mechanism, corresponding token rewards are allocated according to the decision interaction information.

7. A sludge treatment and disposal device based on Web3, characterized in that: The Web3-based sludge treatment and disposal device comprises: A first acquisition module is used to obtain a connection request of the sludge treatment equipment, access a plurality of IoT sensor devices based on the connection request to collect sludge treatment data in the sludge treatment process, and obtain operation management data of the sludge treatment equipment based on the connection request; A first generating module is used to perform standardization processing and preliminary classification on the sludge treatment data and the operation management data to generate corresponding data classification packages, and screen out sensitive data in the data classification packages; A deployment module, used to select a blockchain platform and deploy smart contracts supporting the operation of the DAO on the blockchain platform; A second generating module, used to encrypt and upload the sensitive data to the chain based on the smart contract to generate chain data; An analysis module, used to analyze the corresponding data classification package based on the smart contract to send a corresponding control instruction to the sludge treatment equipment, wherein the control instruction is used to adjust the operating parameters of the sludge treatment equipment or to update the on-chain data; The first allocation module is used to allow DAO members to access and query on-chain data in real time based on the network circulation mechanism, and allocate corresponding data access rights according to the responsibility information of DAO members based on the determined permission management strategy.

8. A Web3-based sludge treatment and disposal device according to claim 7, characterized in that: The first generation module comprises: A first generating unit, configured to perform standardization processing on the sludge treatment data and the operation management data, including at least a data cleaning process, a data formatting process and a data structuring process, to generate corresponding standardized data; A first establishing unit is used to establish a classification package to be filled according to the determined application process requirements, and to determine encryption requirement information; A second generating unit, configured to match each of the standardized data to the corresponding classification packages to be filled, respectively, according to the attribute information of the standardized data, so as to generate corresponding data classification packages; A determination unit, configured to determine corresponding sensitive data in each of the data classification packages according to the encryption requirement information; The deployment module includes: A selection unit, used to select a corresponding blockchain platform according to the determined application process requirements; A second establishment unit, used to establish a blockchain node and a smart contract in the blockchain platform; A writing unit, used to write the code in the smart contract to define the corresponding automatic execution rules, wherein the automatic execution rules at least include dynamic optimization rules and encryption and chain rules, wherein the dynamic optimization rules are used to analyze each of the data classification packages to achieve dynamic optimization of the sludge treatment process, and the encryption and chain rules are used to encrypt the sensitive data through the smart contract and chain it to the corresponding blockchain node; The second generation module comprises: A third generating unit is used to encrypt the sensitive data through homomorphic encryption technology based on the encryption chain rule, and perform data calculation and analysis in an encrypted state to generate corresponding calculation and analysis results; A fourth generating unit, used to generate a zero-knowledge proof according to the calculation and analysis result; A fifth generating unit, used to send the corresponding zero-knowledge proof to the corresponding verification object to generate a corresponding verification result; An on-chain unit, used for uploading the calculation and analysis result and the verification result to the blockchain node; The analysis module comprises: A first sending unit, configured to determine, if the data classification package is a temperature data package, whether the temperature data in the temperature data package exceeds a preset temperature range based on the smart contract, and if so, send a corresponding temperature control instruction to the sludge treatment equipment; A second sending unit is used for, if the data classification package is a pH data package, judging whether the pH data in the pH data package exceeds a preset pH range based on the smart contract, and if so, sending a corresponding pH control instruction to the sludge treatment equipment; A third sending unit is used for, if the data classification package is a biological activity data package, judging whether the biological activity data in the biological activity data package exceeds a preset biological activity range based on the smart contract, and if so, sending a corresponding biological activity control instruction to the sludge treatment equipment; a fourth sending unit, configured to determine, if the data classification package is a device performance data package, whether the device performance data in the device performance data package exceeds a preset performance fault range based on the smart contract, and if so, send a corresponding fault alarm instruction to the sludge treatment equipment; a sixth generating unit, configured to generate a first update instruction based on the smart contract if the data classification package is a sludge stabilization data package, wherein the first update instruction is used to automatically update the on-chain data corresponding to the sludge stabilization data in the sludge stabilization data package; a seventh generating unit, configured to generate a second update instruction based on the smart contract if the data classification package is a sludge discharge standard data package, wherein the second update instruction is used to automatically update the on-chain data corresponding to the sludge discharge standard data in the sludge discharge standard data package; a fifth sending unit, configured to analyze the sludge final use data in the sludge final use data packet based on the smart contract if the data classification packet is a sludge final use data packet, and then send a corresponding final decision instruction, wherein the final decision instruction is used to automatically execute a corresponding disposal process and record disposal information, wherein the disposal information includes a disposal location, a disposal time, and a disposal quantity; An analysis unit, used for analyzing the control instructions based on an artificial intelligence algorithm to determine corresponding optimization instructions, wherein the optimization instructions are used to optimize the sludge treatment process; The Web3-based sludge treatment and disposal method further includes: The second acquisition module is used to obtain governance decision information; A determination module, used to determine the corresponding data access rights according to the governance decision information; A push module, used to push corresponding governance decision information to DAO members corresponding to the data access rights; The second allocation module is used to obtain the decision interaction information of DAO members in real time, and based on the determined incentive mechanism, allocate corresponding token rewards according to the decision interaction information.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a Web3-based sludge treatment and disposal method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a Web3-based sludge treatment and disposal method as described in any one of claims 1 to 6 are implemented.

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